Ignitetech_ SQL Assistance for Postgres.-SQL Optimization Tool for Postgres

Example

Using the 'ON CONFLICT DO UPDATE' clause in functions to handle insertions and updates efficiently, ensuring that data integrity is maintained while minimizing redundant operations.

Scenario

In a scenario where daily activity data is aggregated, the system can efficiently update existing records in the table if an activity already exists or insert new records for new activities. This prevents duplicate entries while ensuring that all data is up to date.

Example

Using EXISTS subqueries instead of JOINs to ensure that only distinct records are processed, which reduces computational overhead.

Scenario

When analyzing user activity across multiple tables, such as filtering for unique user events over specific periods, EXISTS subqueries allow you to skip unnecessary data processing, improving overall query performance.

Example

Designing functions to handle 1k-5k records per invocation, leveraging PL/pgSQL loops and conditional logic to process data in batches.

Scenario

For example, a function that summarizes daily user activity across different containers can loop through multiple records, perform conditional aggregation, and update the target summary table in an optimized way. The function also handles errors gracefully by logging any exceptions, ensuring that data consistency is maintained even in high-load environments.